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Record W2297025721 · doi:10.1149/ma2014-02/3/168

An Investigation of Multi-Walled Carbon Nanotubes Containing Oxygen Functional Groups As Electrodes for Electrochemical Capacitors

2014· article· en· W2297025721 on OpenAlexaff
Mark A. McArthur, Nathan Hordy, Sylvain Coulombe, Sasha Omanovic

Bibliographic record

VenueECS Meeting Abstracts · 2014
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsSupercapacitorMaterials scienceCarbon nanotubeCapacitanceElectrochemistryElectrodeCapacitorElectrolyteChemical engineeringNanotechnologyCarbon fibersComposite materialChemistryComposite numberVoltageElectrical engineering

Abstract

fetched live from OpenAlex

Much research has gone into the advancement of products containing carbon nanotubes (CNTs). However, very little-to-no CNT-containing devices actually make it to the commercial distribution stage. This is surprising as multi-walled CNTs (MWCNTs) have excellent mechanical and electrical properties and have potential use in a myriad of applications; specifically, electrochemical energy storage devices. It is well known that carbonaceous materials are good electrodes for electrochemical capacitors (supercapacitors (SCs)) owing to their relatively large double-layer potential region (ca. 1 V in aqueous electrolytes), global abundance, possibility of achieving structures of high surface area, and their low cost.1 However, in the case of MWCNTs, specific capacitance (C sp) values are quite low (ca. 30-50 F g-1). Hybrid capacitors, whose capacitance is derived from both electrochemical double-layer and pseudocapacitive properties, are being developed to increase the C sp of various carbons. Hybrid MWCNT SC electrodes have achieved specific capacitances upwards of 130 F g-1.2 However, larger values are still desirable to decrease size/volume, mass, and overall cost of electrodes. In this talk, a presentation of our work on the development of a simple, two-step method to synthesize an improved hybrid SC electrode is given along with the results of preliminary surface and electrochemical analyses and performance data. We show that grafting stably immobilized oxygen-containing functional groups to MWCNTs grown on stainless steel surfaces leads to the largest specific capacitance for any binder-free electrode reported to-date. Thermal-chemical vapour deposition (t-CVD) was used to grow MWCNTs directly onto a 316 stainless steel mesh (400 series) according to the method presented in ref.3 The MWCNTs were then exposed to a low pressure Ar/C2H6/O2glow-discharge to immobilize oxygen-containing functional groups onto their surface, thus forming plasma-functionalized MWCNTs (f-MWCNTs). The f-MWCNTs were characterized by XPS while the f-MWCNT SC electrodes were characterized using galvanostatic charge/discharge (GCD) cycling and electrochemical impedance spectroscopy (EIS) to determine the electrode’s specific capacitance. Fig. 1a displays surface chemistry survey results from XPS showing the presence of oxygen-containing surface groups on the f-MWCNT SC electrodes. Further, the results show that the functional groups are stably bound even after 300 GCD cycles. Figs. 1b and 1c support the survey scan by examining the C1s peak before and after plasma functionalization (b) as well as after 100 and 300 GCD cycles (c). Stability of the f-MWCNT SC electrodes is excellent even after many GCD cycles. Fig. 2 shows typical C sp values with GCD cycle number (a) and the potential curve used to compute these values (b). From GCD, a maximum of ca. 200 F g-1 was recorded at 0.2 mA cm-2 after stabilization of the electrode. Using EIS, a similar C sp value of 251 F g-1was determined. We believe the reason that the C sp of our own f-MWCNT SC electrodes is so large is due to the large number of MWCNT defect sites introduced during t-CVD growth combined with the large surface-to-volume ratio of f-MWCNTs.4 These defect sites act as excellent anchor points to immobilize oxygen-containing functionalities. It is these functionalities that lead to a source of additional charge which increases the total capacitance of the material. References: 1. B. E. Conway, Electrochemical Supercapacitors: Scientific Fundamentals and Technological Applications, p. 734, Springer, (1999). 2. S. K. Park, Q. Mahmood, and H. S. Park, Nanoscale, 5, 12304–12309 (2013). 3. N. Hordy, S. Coulombe, and J.-L. Meunier, Plasma Process. Polym., 10, 110–118 (2013). 4. D.-Q. Yang and E. Sacher, J. Phys. Chem. C, 112, 4075–4082 (2008).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.257
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2014
Admission routes1
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